Author: tayyaba
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Advanced Statistical Modeling with Mixed-Effects Models
Mixed-effects models are useful when dealing with data that have both fixed and random effects. We’ll use the lme4 package for this. Step 1: Install and Load lme4 Step 2: Create a Sample Dataset Step 3: Fit a Mixed-Effects Model
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Network Analysis with igraph
Network analysis is essential for understanding relationships in data. We’ll use the igraph package. Step 1: Install and Load igraph Step 2: Create a Sample Graph Step 3: Analyze the Graph
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Text Analysis with tm and wordcloud
Text analysis is vital for extracting insights from unstructured data. Here, we’ll analyze a simple text corpus. Step 1: Install and Load Required Packages Step 2: Create a Sample Text Corpus Step 3: Create a Term-Document Matrix Step 4: Generate a Word Cloud
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Clustering with k-means
Clustering is a powerful technique for grouping similar data points. We’ll use the k-means algorithm. Step 1: Create a Sample Dataset Step 2: Apply k-means Clustering
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Clustering with k-means
Clustering is a powerful technique for grouping similar data points. We’ll use the k-means algorithm. Step 1: Create a Sample Dataset Step 2: Apply k-means Clustering
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Complex Visualization with ggplot2
We can create faceted plots and combine multiple visualizations. Faceted Plot Combining Plots You can also use the patchwork package to combine multiple plots:
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Time Series Analysis
Let’s analyze a simple time series dataset using the forecast package. Step 1: Install and Load Forecast If you don’t have forecast installed, you can install it: Then, load the library: Step 2: Create a Time Series Dataset We’ll create a sample time series dataset: Step 3: Decompose the Time Series Step 4: Forecasting
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Machine Learning with Caret
We’ll demonstrate a basic machine learning workflow using the caret package for building a predictive model. Step 1: Install and Load Caret If you don’t have caret installed, you can do so with: Then, load the library: Step 2: Create a Sample Dataset We’ll use the same dataset but add a binary outcome variable to…
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Hypothesis Testing
We can perform a t-test to compare the means of weight between two age groups. Step 1: Create Age Groups Step 2: Conduct a t-test
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Advanced Visualization with ggplot2
Let’s create more complex visualizations, such as a boxplot and a density plot. Boxplot Density Plot